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Organize flat MCP tools into subcommands to save tokens and improve discovery.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCPico" yet — see the docs or source repo.
I have an MCP proxy with dozens of tools. Use MCPico to organize them into hierarchical subcommand groups and suggest a grouping structure.
A clear subcommand grouping plan that is easier for models to use and consumes fewer context tokens.
Analyze my current flat tool list and use MCPico to design more discoverable naming and hierarchy, explaining the purpose of each group.
A more intuitive tool hierarchy, naming recommendations, and explanations for each group’s purpose.
I want to reduce token costs when my AI agent loads tools. Explain how to proxy my existing MCP service with MCPico and show an example of the reorganized tool structure.
Integration guidance, an example reorganized structure, and the expected reduction in context usage.
Aggregate multiple MCP servers into one for search, parallel calls, and orchestration.
Compress and proxy MCP responses to reduce token usage for LLM tool calls.
Manage multiple MCP servers and load tool schemas on demand efficiently.
Run a local-first MCP proxy with secure discovery and major token savings.
Securely proxy MCP services as OpenAPI endpoints for easier integration and deployment.
Discover, search, and dynamically call tools across multiple MCP servers.